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Bendinelli B, Caini S, Assedi M, Ermini I, Pastore E, Facchini L, Gilio MA, Duroni G, Fontana M, Querci A, Ambrogetti D, Saieva C, Masala G. Cigarette smoking and mammographic breast density in post-menopausal women from the EPIC Florence cohort. Front Oncol 2024; 14:1335645. [PMID: 38515572 PMCID: PMC10955064 DOI: 10.3389/fonc.2024.1335645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 02/12/2024] [Indexed: 03/23/2024] Open
Abstract
Introduction Cigarette smoking has been recognized as a risk factor for breast cancer (BC) also if the biological mechanism remains poorly understood. High mammographic breast density (MBD) is associated with BC risk and many BC risk factors, such as genetic, anthropometric, reproductive and lifestyle factors and age, are also able to modulate MBD. The aim of the present study was to prospectively explore, in post-menopausal women, the association between smoking habits and MBD, assessed using an automated software, considering duration and intensity of smoking. Methods The analysis was carried out in 3,774 women enrolled in the European Prospective Investigation into Cancer and Nutrition (EPIC) Florence cohort in 1993-98, participating in the 2004-06 follow up (FU) and with at least one full-field digital mammography (FFDM) performed after FU. For each woman, detailed information on smoking habits, anthropometry, lifestyle and reproductive history was collected at enrollment and at FU. Smoking information at baseline and at FU was integrated. The fully automated Volpara™ software was used to obtain total breast volume (cm3), absolute breast dense volume (DV, cm3) and volumetric percent density (VPD, %) from the first available FFDM (average 5.3 years from FU). Multivariable linear regression models were applied to evaluate the associations between smoking habits and VPD or DV. Results An inverse association between smoking exposure and VPD emerged (Diff% -7.96%, p <0.0001 for current smokers and -3.92%, p 0.01 for former smokers, compared with non-smokers). An inverse dose-response relationship with number of cigarettes/day, years of smoking duration and lifetime smoking exposure (pack-years) and a direct association with time since smoking cessation among former smokers emerged. Similar associations, with an attenuated effect, emerged when DV was considered as the outcome variable. Discussion This longitudinal study confirms the inverse association between active smoking, a known risk factor for BC, and MBD among post-menopausal women. The inclusion of smoking habits in the existing BC risk prediction models could be evaluated in future studies.
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Affiliation(s)
- Benedetta Bendinelli
- Clinical Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Saverio Caini
- Cancer Risk Factors and Lifestyle Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Melania Assedi
- Cancer Risk Factors and Lifestyle Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Ilaria Ermini
- Cancer Risk Factors and Lifestyle Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Elisa Pastore
- Clinical Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Luigi Facchini
- Cancer Risk Factors and Lifestyle Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Maria Antonietta Gilio
- Breast Cancer Screening Branch, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Giacomo Duroni
- Clinical Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Miriam Fontana
- Clinical Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Andrea Querci
- Cancer Risk Factors and Lifestyle Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Daniela Ambrogetti
- Breast Cancer Screening Branch, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Calogero Saieva
- Cancer Risk Factors and Lifestyle Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Giovanna Masala
- Clinical Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
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Pakzad R, Nedjat S, Salehiniya H, Mansournia N, Etminan M, Nazemipour M, Pakzad I, Mansournia MA. Effect of alcohol consumption on breast cancer: probabilistic bias analysis for adjustment of exposure misclassification bias and confounders. BMC Med Res Methodol 2023; 23:157. [PMID: 37403100 PMCID: PMC10318777 DOI: 10.1186/s12874-023-01978-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 06/15/2023] [Indexed: 07/06/2023] Open
Abstract
PURPOSE This study was conducted to evaluate the effect of alcohol consumption on breast cancer, adjusting for alcohol consumption misclassification bias and confounders. METHODS This was a case-control study of 932 women with breast cancer and 1000 healthy control. Using probabilistic bias analysis method, the association between alcohol consumption and breast cancer was adjusted for the misclassification bias of alcohol consumption as well as a minimally sufficient set of adjustment of confounders derived from a causal directed acyclic graph. Population attributable fraction was estimated using the Miettinen's Formula. RESULTS Based on the conventional logistic regression model, the odds ratio estimate between alcohol consumption and breast cancer was 1.05 (95% CI: 0.57, 1.91). However, the adjusted estimates of odds ratio based on the probabilistic bias analysis ranged from 1.82 to 2.29 for non-differential and from 1.93 to 5.67 for differential misclassification. Population attributable fraction ranged from 1.51 to 2.57% using non-differential bias analysis and 1.54-3.56% based on differential bias analysis. CONCLUSION A marked measurement error was in self-reported alcohol consumption so after correcting misclassification bias, no evidence against independence between alcohol consumption and breast cancer changed to a substantial positive association.
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Affiliation(s)
- Reza Pakzad
- Department of Epidemiology, Faculty of Health, Ilam University of Medical Sciences, Ilam, Iran
- Student Research Committee, Ilam University of Medical Sciences, Ilam, Iran
| | - Saharnaz Nedjat
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, PO Box: 14155-6446, Tehran, Iran
| | - Hamid Salehiniya
- Department of Epidemiology and Biostatistics, School of Health, Birjand University of Medical Sciences, South Khorasan, Iran
| | - Nasrin Mansournia
- Department of Endocrinology, School of Medicine, AJA University of Medical Sciences, Tehran, Iran
| | - Mahyar Etminan
- Departments of Ophthalmology and Visual Sciences, Medicine and Pharmacology, University of British Columbia, Vancouver, Canada
| | - Maryam Nazemipour
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, PO Box: 14155-6446, Tehran, Iran
| | - Iraj Pakzad
- Department of Microbiology, School of Medicine, Ilam University of Medical Sciences, Ilam, Iran
| | - Mohammad Ali Mansournia
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, PO Box: 14155-6446, Tehran, Iran.
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Yaghjyan L, Heng YJ, Baker GM, Rosner BA, Tamimi RM. Associations of alcohol consumption with breast tissue composition. Breast Cancer Res 2023; 25:33. [PMID: 36998083 PMCID: PMC10061845 DOI: 10.1186/s13058-023-01638-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 03/13/2023] [Indexed: 04/01/2023] Open
Abstract
BACKGROUND We investigated the associations of alcohol with percentage of epithelium, stroma, fibroglandular tissue (epithelium + stroma), and fat in benign breast biopsy samples. METHODS We included 857 cancer-free women with biopsy-confirmed benign breast disease within the Nurses' Health Study (NHS) and NHSII cohorts. Percentage of each tissue was measured on whole slide images using a deep-learning algorithm and then log-transformed. Alcohol consumption (recent and cumulative average) was assessed with semi-quantitative food frequency questionnaires. Regression estimates were adjusted for known breast cancer risk factors. All tests were 2-sided. RESULTS Alcohol was inversely associated with % of stroma and fibroglandular tissue (recent ≥ 22 g/day vs. none: stroma: β = - 0.08, 95% Confidence Interval [CI] - 0.13; - 0.03; fibroglandular: β = - 0.08, 95% CI - 0.13; - 0.04; cumulative ≥ 22 g/day vs. none: stroma: β = - 0.08, 95% CI - 0.13; - 0.02; fibroglandular: β = - 0.09, 95% CI - 0.14; - 0.04) and positively associated with fat % (recent ≥ 22 g/day vs. none: β = 0.30, 95% CI 0.03; 0.57; cumulative ≥ 22 g/day vs. none: β = 0.32, 95% CI 0.04; 0.61). In stratified analysis, alcohol consumption was not associated with tissue measures in premenopausal women. In postmenopausal women, cumulative alcohol use was inversely associated with % of stroma and fibroglandular tissue and positively associated with fat % (≥ 22 g/day vs. none: stroma: β = - 0.16, 95% CI - 0.28; - 0.07; fibroglandular: β = - 0.18, 95% CI - 0.28; - 0.07; fat: β = 0.61, 95% CI 0.01; 1.22), with similar results for recent alcohol use. CONCLUSION Our findings suggest that alcohol consumption is associated with smaller % of stroma and fibroglandular tissue and a greater % of fat in postmenopausal women. Future studies are warranted to confirm our findings and to elucidate the underlying biological mechanisms.
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Affiliation(s)
- Lusine Yaghjyan
- Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, 2004 Mowry Rd., Gainesville, FL, 32610, USA.
| | - Yujing J Heng
- Department of Pathology, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Gabrielle M Baker
- Department of Pathology, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Bernard A Rosner
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Rulla M Tamimi
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
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Dietary Patterns, Dietary Interventions, and Mammographic Breast Density: A Systematic Literature Review. Nutrients 2022; 14:nu14245312. [PMID: 36558470 PMCID: PMC9781545 DOI: 10.3390/nu14245312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 12/01/2022] [Accepted: 12/08/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Breast cancer (BC) is the most common and deadliest malignancy among women. High mammographic breast density (MBD) is an established modifiable risk marker for BC, and it is of interest, for prevention purposes, to consider lifestyle factors that may modulate both MBD and BC risk. Here, we conducted a systematic review of the most up-to-date evidence on the association between diet as a whole and MBD. METHODS We considered as eligible for inclusion in our review (PROSPERO registration code CRD42022335289) the studies published until 31 December 2021, that reported on the association between a priori or a posteriori dietary patterns (in observational studies) or dietary interventions (in randomized controlled trials) and MBD. RESULTS In total, twelve studies were included. MBD tended to be inversely associated with adherence to dietary patterns characterized by high consumption of plant-based foods and low in meat, animal fats, and alcohol, defined both a priori (e.g., Mediterranean diet and WCRF/AICR guidelines) or a posteriori (e.g., "fruit-vegetable-cereal" and "salad-sauce-pasta/grains" patterns). Findings from intervention studies were in fair agreement with those from observational studies. CONCLUSIONS While further studies are needed, we found suggestive evidence that the adoption of a healthy diet is associated with lower MBD.
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McBride RB, Fei K, Rothstein JH, Alexeeff SE, Song X, Sakoda LC, McGuire V, Achacoso N, Acton L, Liang RY, Lipson JA, Yaffe MJ, Rubin DL, Whittemore AS, Habel LA, Sieh W. Alcohol and Tobacco Use in Relation to Mammographic Density in 23,456 Women. Cancer Epidemiol Biomarkers Prev 2020; 29:1039-1048. [PMID: 32066618 PMCID: PMC7196522 DOI: 10.1158/1055-9965.epi-19-0348] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2019] [Revised: 07/27/2019] [Accepted: 02/07/2020] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Percent density (PD) is a strong risk factor for breast cancer that is potentially modifiable by lifestyle factors. PD is a composite of the dense (DA) and nondense (NDA) areas of a mammogram, representing predominantly fibroglandular or fatty tissues, respectively. Alcohol and tobacco use have been associated with increased breast cancer risk. However, their effects on mammographic density (MD) phenotypes are poorly understood. METHODS We examined associations of alcohol and tobacco use with PD, DA, and NDA in a population-based cohort of 23,456 women screened using full-field digital mammography machines manufactured by Hologic or General Electric. MD was measured using Cumulus. Machine-specific effects were estimated using linear regression, and combined using random effects meta-analysis. RESULTS Alcohol use was positively associated with PD (P trend = 0.01), unassociated with DA (P trend = 0.23), and inversely associated with NDA (P trend = 0.02) adjusting for age, body mass index, reproductive factors, physical activity, and family history of breast cancer. In contrast, tobacco use was inversely associated with PD (P trend = 0.0008), unassociated with DA (P trend = 0.93), and positively associated with NDA (P trend<0.0001). These trends were stronger in normal and overweight women than in obese women. CONCLUSIONS These findings suggest that associations of alcohol and tobacco use with PD result more from their associations with NDA than DA. IMPACT PD and NDA may mediate the association of alcohol drinking, but not tobacco smoking, with increased breast cancer risk. Further studies are needed to elucidate the modifiable lifestyle factors that influence breast tissue composition, and the important role of the fatty tissues on breast health.
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Affiliation(s)
- Russell B McBride
- Institute for Translational Epidemiology, Icahn School of Medicine at Mount Sinai, New York, New York
- Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Kezhen Fei
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Joseph H Rothstein
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Stacey E Alexeeff
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Xiaoyu Song
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Lori C Sakoda
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Valerie McGuire
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California
| | - Ninah Achacoso
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Luana Acton
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Rhea Y Liang
- Department of Radiology, Stanford University School of Medicine, Stanford, California
| | - Jafi A Lipson
- Department of Radiology, Stanford University School of Medicine, Stanford, California
| | - Martin J Yaffe
- Departments of Medical Biophysics and Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | - Daniel L Rubin
- Department of Radiology, Stanford University School of Medicine, Stanford, California
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, California
| | - Alice S Whittemore
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, California
| | - Laurel A Habel
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Weiva Sieh
- Institute for Translational Epidemiology, Icahn School of Medicine at Mount Sinai, New York, New York.
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York
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Lee E, Doanvo N, Lee M, Soe Z, Lee AW, Van Doan C, Deapen D, Ursin G, Spicer D, Reynolds P, Wu AH. Immigration history, lifestyle characteristics, and breast density in the Vietnamese American Women's Health Study: a cross-sectional analysis. Cancer Causes Control 2020; 31:127-138. [PMID: 31916076 PMCID: PMC7842111 DOI: 10.1007/s10552-019-01264-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2019] [Accepted: 12/30/2019] [Indexed: 12/21/2022]
Abstract
PURPOSE Breast density is an important risk factor for breast cancer and varies substantially across racial-ethnic groups. However, determinants of breast density in Vietnamese immigrants in the United States (US) have not been studied. We investigated whether reproductive factors, immigration history, and other demographic and lifestyle factors were associated with breast density in Vietnamese Americans. METHODS We collected information on demographics, immigration history, and other lifestyle factors and mammogram reports from a convenience sample of 380 Vietnamese American women in California aged 40 to 70 years. Breast Imaging Reporting and Data System (BI-RADS) breast density was abstracted from mammogram reports. Multivariable logistic regression was used to investigate the association between lifestyle factors and having dense breasts (BI-RADS 3 or 4). RESULTS All participants were born in Viet Nam and 82% had lived in the US for 10 years or longer. Younger age, lower body mass index, nulliparity/lower number of deliveries, and longer US residence (or younger age at migration) were associated with having dense breasts. Compared to women who migrated at age 40 or later, the odds ratios and 95% confidence intervals for having dense breasts among women who migrated between the ages of 30 and 39 and before age 30 were 1.72 (0.96-3.07) and 2.48 (1.43-4.32), respectively. CONCLUSIONS Longer US residence and younger age at migration were associated with greater breast density in Vietnamese American women. Identifying modifiable mediating factors to reduce lifestyle changes that adversely impact breast density in this traditionally low-risk population for breast cancer is warranted.
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Affiliation(s)
- Eunjung Lee
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, USA.
| | - Namphuong Doanvo
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, USA
| | - MiHee Lee
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, USA
| | - Zayar Soe
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, USA
| | - Alice W Lee
- Department of Public Health, California State University, Fullerton, Fullerton, CA, 92831, USA
| | - Cam Van Doan
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, USA
| | - Dennis Deapen
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, USA
| | | | - Darcy Spicer
- Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, USA
| | - Peggy Reynolds
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Anna H Wu
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, USA
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Characteristics of Mammographic Breast Density and Associated Factors for Chinese Women: Results from an Automated Measurement. JOURNAL OF ONCOLOGY 2019; 2019:4910854. [PMID: 31015834 PMCID: PMC6444251 DOI: 10.1155/2019/4910854] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/10/2018] [Revised: 02/01/2019] [Accepted: 02/19/2019] [Indexed: 11/18/2022]
Abstract
Background Characteristics of mammographic density for Chinese women are understudied. This study aims to identify factors associated with mammographic density in China using a quantitative method. Methods Mammographic density was measured for a total of 1071 (84 with and 987 without breast cancer) women using an automatic algorithm AutoDensity. Pearson tests examined relationships between density and continuous variables and t-tests compared differences of mean density values between groupings of categorical variables. Linear models were built using multiple regression. Results Percentage density and dense area were positively associated with each other for cancer-free (r=0.487, p<0.001) and cancer groups (r=0.446, p<0.001), respectively. For women without breast cancer, weight and BMI (p<0.001) were found to be negatively associated (r=-0.237, r=-0.272) with percentage density whereas they were found to be positively associated (r=0.110, r=0.099) with dense area; age at mammography was found to be associated with percentage density (r=-0.202, p<0.001) and dense area (r=-0.086, p<0.001) but did not add any prediction within multivariate models; lower percentage density was found within women with secondary education background or below compared to women with tertiary education. For women with breast cancer, percentage density demonstrated similar relationships with that of cancer-free women whilst breast area was the only factor associated with dense area (r=0.739, p<0.001). Conclusion This is the first time that mammographic density was measured by a quantitative method for women in China and identified associations should be useful to health policy makers who are responsible for introducing effective models of breast cancer prevention and diagnosis.
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Masala G, Assedi M, Sera F, Ermini I, Occhini D, Castaldo M, Pierpaoli E, Caini S, Bendinelli B, Ambrogetti D, Palli D. Can Dietary and Physical Activity Modifications Reduce Breast Density in Postmenopausal Women? The DAMA Study, a Randomized Intervention Trial in Italy. Cancer Epidemiol Biomarkers Prev 2018; 28:41-50. [PMID: 30068518 DOI: 10.1158/1055-9965.epi-18-0468] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2018] [Revised: 07/06/2018] [Accepted: 07/27/2018] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Few randomized trials have been carried out to evaluate the effect of lifestyle modifications on mammographic breast density (MBD). The randomized 2 × 2 factorial Diet, physical Activity and MAmmography trial aimed to evaluate whether MBD can be reduced in postmenopausal women with high baseline MBD by a 24-month dietary and/or physical activity (PA) interventions. METHODS We randomized healthy postmenopausal women, attending the Florence (Italy) mammographic screening program, ages 50 to 69 years, nonsmokers, with MBD > 50% and no recent hormone therapy, to (i) a dietary intervention focused on plant foods, with a low glycemic load, low in saturated fats and alcohol; (ii) a PA intervention combining daily moderate intensity activities and one weekly supervised session of more strenuous activity; (iii) both interventions; (iv) general recommendations. We evaluated changes in MBD based on Volpara estimates comparing baseline and follow-up digital mammograms by an intention-to-treat-analysis. RESULTS MBD measures were available for 226 participants. An interaction emerged between treatments and thus we run analyses by arms. A decrease in volumetric percent density emerged for women in the dietary intervention (ratio 0.91; 95% CI, 0.86-0.97; P = 0.002) and in the PA intervention arm (0.93; 95% CI, 0.87-0.98; P = 0.01) in comparison with controls. No clear effect emerged in the double intervention arm. CONCLUSIONS This intervention trial suggests that a 24-month dietary or PA intervention may reduce MBD in postmenopausal women. IMPACT A modification of dietary habits or an increase in PA in postmenopausal women may reduce MBD. Further studies are needed to confirm these findings for planning breast cancer preventive strategies.
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Affiliation(s)
- Giovanna Masala
- Cancer Risk Factors and Lifestyle Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy.
| | - Melania Assedi
- Cancer Risk Factors and Lifestyle Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Francesco Sera
- Cancer Risk Factors and Lifestyle Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy.,Department of Social and Environmental Health Research (SEHR), Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, UK
| | - Ilaria Ermini
- Cancer Risk Factors and Lifestyle Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Daniela Occhini
- Cancer Risk Factors and Lifestyle Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Maria Castaldo
- Cancer Risk Factors and Lifestyle Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Elena Pierpaoli
- Cancer Risk Factors and Lifestyle Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy.,Breast Cancer Screening Branch, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Saverio Caini
- Cancer Risk Factors and Lifestyle Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Benedetta Bendinelli
- Cancer Risk Factors and Lifestyle Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Daniela Ambrogetti
- Breast Cancer Screening Branch, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Domenico Palli
- Cancer Risk Factors and Lifestyle Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
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Hjerkind KV, Ellingjord-Dale M, Johansson AL, Aase HS, Hoff SR, Hofvind S, Fagerheim S, dos-Santos-Silva I, Ursin G. Volumetric Mammographic Density, Age-Related Decline, and Breast Cancer Risk Factors in a National Breast Cancer Screening Program. Cancer Epidemiol Biomarkers Prev 2018; 27:1065-1074. [DOI: 10.1158/1055-9965.epi-18-0151] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2018] [Revised: 04/25/2018] [Accepted: 06/15/2018] [Indexed: 11/16/2022] Open
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The DAMA Trial: A Diet and Physical Activity Intervention Trial to Reduce Mammographic Breast Density in Postmenopausal Women in Tuscany, Italy. Study Protocol and Baseline Characteristics. TUMORI JOURNAL 2018. [DOI: 10.1177/1636.17890] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
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Jacobsen KK, Lynge E, Tjønneland A, Vejborg I, von Euler-Chelpin M, Andersen ZJ. Alcohol consumption and mammographic density in the Danish Diet, Cancer and Health cohort. Cancer Causes Control 2017; 28:1429-1439. [PMID: 28965165 DOI: 10.1007/s10552-017-0970-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2017] [Accepted: 09/22/2017] [Indexed: 11/24/2022]
Abstract
PURPOSE We examined the association between alcohol consumption and mammographic density (MD) considering in detail the time of exposure and the type of alcohol. METHODS Of 5,356 women (4,489 post-menopausal) from the Danish Diet, Cancer and Health cohort (1993-1997) who attended mammographic screening in Copenhagen (1993-2001), we used MD (mixed/dense or fatty) assessed at the first screening after cohort entry. Alcohol consumption was assessed at the time of recruitment. Logistic regression was used to estimate associations [odds ratios (OR), 95% confidence intervals (CI)] between alcohol consumption and MD. RESULTS The mean age was 56.2 years, 56.5% of women had mixed/dense MD, and 91.8% were alcohol consumers. There was no association between current alcohol consumption and MD at baseline (age 50-65, on average 1 year before MD assessment) neither between age at drinking initiation and MD, in the fully adjusted model. There was a borderline statistically significantly increased OR of having mixed/dense MD in women who consumed > 7 drinks/week at age 20-29 (1.31, 95% CI 1.00-1.72) compared to non-drinkers in this age group, and no effect of drinking at age 30-39, 40-49 or after > 50 years, when adjusting for current drinking. However, when considering different types of alcohol, drinking spirits at age 20-29 was positively associated with mixed/dense breast (3-7 drinks/week: OR 1.74, 95% CI 1.12-2.72); >7 drinks/week: (OR 1.76, 95% CI 0.73-4.23). No consistent pattern was found with beer, wine, or fortified wine. CONCLUSIONS We found higher MD among women with high alcohol consumption in early adulthood (ages 20-29), in those drinking spirits.
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Affiliation(s)
- Katja Kemp Jacobsen
- Department of Technology, Faculty of Health and Technology, Metropolitan University College, Copenhagen, Denmark.
| | - Elsebeth Lynge
- Centre for Epidemiology and Screening, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Anne Tjønneland
- Institute of Cancer Epidemiology, Danish Cancer Society, Copenhagen, Denmark
| | - Ilse Vejborg
- Department of Radiology and Diagnostic Imaging Centre, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - My von Euler-Chelpin
- Centre for Epidemiology and Screening, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Zorana J Andersen
- Centre for Epidemiology and Screening, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
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12
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Ziembicki S, Zhu J, Tse E, Martin LJ, Minkin S, Boyd NF. The Association between Alcohol Consumption and Breast Density: A Systematic Review and Meta-analysis. Cancer Epidemiol Biomarkers Prev 2016; 26:170-178. [DOI: 10.1158/1055-9965.epi-16-0522] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2016] [Revised: 09/01/2016] [Accepted: 09/14/2016] [Indexed: 11/16/2022] Open
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McDonald JA, Michels KB, Cohn BA, Flom JD, Tehranifar P, Terry MB. Alcohol intake from early adulthood to midlife and mammographic density. Cancer Causes Control 2016; 27:493-502. [PMID: 26830901 DOI: 10.1007/s10552-016-0723-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2015] [Accepted: 01/16/2016] [Indexed: 12/13/2022]
Abstract
PURPOSE Moderate alcohol consumption (15 g/day) has been consistently associated with increased breast cancer risk; however, the association between alcohol and mammographic density, a strong marker of breast cancer risk, has been less consistent. Less is known about the effect of patterns of alcohol intake across the lifecourse. METHODS Using the Early Determinants of Mammographic Density study, an adult follow-up of women born in two US birth cohorts (n = 697; Collaborative Perinatal Project in Boston and Providence sites and the Childhood Health and Development Studies in California), we examined the association between alcohol intake in early adulthood (ages 20-29 years) and at time of interview and mammographic density (percent density and total dense area). We report the difference between nondrinkers and three levels of alcohol intake. We considered confounding by age at mammogram, body mass index, geographic site, race/ethnicity, and reproductive characteristics. RESULTS Seventy-nine percent of women reported ever consuming alcohol. Compared to nondrinkers in early adulthood, we observed an inverse association between >7 servings/week and percent density in fully adjusted models (β = -5.1, 95% CI -8.7, -1.5; p for trend = <0.01). Associations with dense area were inverse for the highest category of drinking in early adulthood but not statistically significant (p for trend = 0.15). Compared to noncurrent drinkers, the association for current intake of >7 servings/week and percent density was also inverse (β = -3.1, 95% CI -7.0, 0.8; p for trend = 0.01). In contrast, moderate alcohol intake (>0-≤7 servings/week) in either time period was positively associated with dense area; but associations were not statistically significant in fully adjusted models. CONCLUSIONS Our study does not lend support to the hypothesis that the positive association between alcohol intake and breast cancer risk is through increasing mammographic density.
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Affiliation(s)
- Jasmine A McDonald
- Department of Epidemiology, Mailman School of Public Health, Columbia University Medical Center, New York, NY, USA.
| | - Karin B Michels
- Obstetrics and Gynecology, Epidemiology Center Department of Obstetrics, Gynecology and Reproductive Biology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.,Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA.,Division of Cancer Epidemiology, Comprehensive Cancer Center Freiburg, Freiburg University, Freiburg, Germany
| | - Barbara A Cohn
- Public Health Institute, Child Health and Development Studies, Berkeley, CA, USA
| | - Julie D Flom
- Department of Epidemiology, Mailman School of Public Health, Columbia University Medical Center, New York, NY, USA
| | - Parisa Tehranifar
- Department of Epidemiology, Mailman School of Public Health, Columbia University Medical Center, New York, NY, USA.,Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY, USA
| | - Mary Beth Terry
- Department of Epidemiology, Mailman School of Public Health, Columbia University Medical Center, New York, NY, USA.,Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY, USA.,The Imprints Center for Genetic and Environmental Lifecourse Studies, Mailman School of Public Health, Columbia University Medical Center, New York, NY, USA
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McCormack VA, Burton A, dos-Santos-Silva I, Hipwell JH, Dickens C, Salem D, Kamal R, Hartman M, Lee CPL, Chia KS, Ozmen V, Aribal ME, Flugelman AA, Lajous M, Lopez-Riduara R, Rice M, Romieu I, Ursin G, Qureshi S, Ma H, Lee E, van Gils CH, Wanders JOP, Vinayak S, Ndumia R, Allen S, Vinnicombe S, Moss S, Won Lee J, Kim J, Pereira A, Garmendia ML, Sirous R, Sirous M, Peplonska B, Bukowska A, Tamimi RM, Bertrand K, Nagata C, Kwong A, Vachon C, Scott C, Perez-Gomez B, Pollan M, Maskarinec G, Giles G, Hopper J, Stone J, Rajaram N, Teo SH, Mariapun S, Yaffe MJ, Schüz J, Chiarelli AM, Linton L, Boyd NF. International Consortium on Mammographic Density: Methodology and population diversity captured across 22 countries. Cancer Epidemiol 2016; 40:141-51. [PMID: 26724463 PMCID: PMC4738079 DOI: 10.1016/j.canep.2015.11.015] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2015] [Revised: 11/12/2015] [Accepted: 11/30/2015] [Indexed: 12/31/2022]
Abstract
Mammographic density (MD) is a quantitative trait, measurable in all women, and is among the strongest markers of breast cancer risk. The population-based epidemiology of MD has revealed genetic, lifestyle and societal/environmental determinants, but studies have largely been conducted in women with similar westernized lifestyles living in countries with high breast cancer incidence rates. To benefit from the heterogeneity in risk factors and their combinations worldwide, we created an International Consortium on Mammographic Density (ICMD) to pool individual-level epidemiological and MD data from general population studies worldwide. ICMD aims to characterize determinants of MD more precisely, and to evaluate whether they are consistent across populations worldwide. We included 11755 women, from 27 studies in 22 countries, on whom individual-level risk factor data were pooled and original mammographic images were re-read for ICMD to obtain standardized comparable MD data. In the present article, we present (i) the rationale for this consortium; (ii) characteristics of the studies and women included; and (iii) study methodology to obtain comparable MD data from original re-read films. We also highlight the risk factor heterogeneity captured by such an effort and, thus, the unique insight the pooled study promises to offer through wider exposure ranges, different confounding structures and enhanced power for sub-group analyses.
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Affiliation(s)
- Valerie A McCormack
- Section of Environment and Radiation, International Agency for Research on Cancer, Lyon, France.
| | - Anya Burton
- Section of Environment and Radiation, International Agency for Research on Cancer, Lyon, France
| | - Isabel dos-Santos-Silva
- Dept of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | - John H Hipwell
- Centre for Medical Image Computing, University College London, UK
| | | | | | - Rasha Kamal
- Woman Imaging Unit, Radiodiagnosis Department, Kasr El Aini, Cairo University Hospitals, Cairo, Egypt
| | - Mikael Hartman
- Department of Surgery, Yong Loo Lin School of Medicine and Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Charmaine Pei Ling Lee
- Department of Surgery, Yong Loo Lin School of Medicine and Saw Swee Hock School of Public Health, National University of Singapore, Singapore; NUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore
| | - Kee-Seng Chia
- NUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore
| | | | | | | | - Martín Lajous
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, USA; Center for Research on Population Health, Instituto Nacional de Salud Pública, Mexico, Mexico City, Mexico
| | - Ruy Lopez-Riduara
- Center for Research on Population Health, Instituto Nacional de Salud Pública, Mexico, Mexico City, Mexico
| | - Megan Rice
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, USA
| | - Isabelle Romieu
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France
| | - Giske Ursin
- Cancer Registry of Norway, Oslo, Norway; Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway; Department of Preventive Medicine, University of Southern California, Los Angeles, California, USA
| | - Samera Qureshi
- Norwegian Center for Minority Health Research (NAKMI), Oslo, Norway
| | - Huiyan Ma
- Department of Population Sciences, Beckman Research Institute, City of Hope, Duarte, USA
| | - Eunjung Lee
- Department of Preventive Medicine, University of Southern California, Los Angeles, California, USA
| | - Carla H van Gils
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, The Netherlands
| | - Johanna O P Wanders
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, The Netherlands
| | | | - Rose Ndumia
- Aga Khan University Hospital, Nairobi, Kenya
| | - Steve Allen
- Department of Imaging, Royal Marsden NHS Foundation Trust, London, UK
| | - Sarah Vinnicombe
- Division of Cancer Research, Ninewells Hospital & Medical School, Dundee, UK
| | - Sue Moss
- Wolfson Institute of Preventive Medicine, Queen Mary University of London, UK
| | | | - Jisun Kim
- Asan Medical Center, Seoul, Republic of Korea
| | - Ana Pereira
- Institute of Nutrition and Food Technology, University of Chile, Chile
| | | | - Reza Sirous
- Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mehri Sirous
- Isfahan University of Medical Sciences, Isfahan, Iran
| | | | | | - Rulla M Tamimi
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, USA
| | | | | | - Ava Kwong
- Division of Breast Surgery, The University of Hong Kong Faculty of Medicine, and Department of Surgery, Hong Kong Sanatorium and Hospital, Hong Kong, People's Republic of China
| | - Celine Vachon
- Dept Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Christopher Scott
- Dept Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Beatriz Perez-Gomez
- Cancer Epidemiology Unit, Instituto de Salud Carlos III and CIBERESP, Madrid, Spain
| | - Marina Pollan
- Cancer Epidemiology Unit, Instituto de Salud Carlos III and CIBERESP, Madrid, Spain
| | | | - Graham Giles
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Australia; School of Population and Global Health, The University of Melbourne, Australia
| | - John Hopper
- School of Population and Global Health, The University of Melbourne, Australia
| | - Jennifer Stone
- Centre for Genetic Origins of Health and Disease, University of Western Australia, Australia
| | - Nadia Rajaram
- Breast Cancer Research Group, University Malaya Medical Centre, University Malaya, Kuala Lumpur, Malaysia
| | - Soo-Hwang Teo
- Breast Cancer Research Group, University Malaya Medical Centre, University Malaya, Kuala Lumpur, Malaysia; Cancer Research Malaysia, Subang Jaya, Malaysia
| | - Shivaani Mariapun
- Breast Cancer Research Group, University Malaya Medical Centre, University Malaya, Kuala Lumpur, Malaysia
| | | | - Joachim Schüz
- Section of Environment and Radiation, International Agency for Research on Cancer, Lyon, France
| | - Anna M Chiarelli
- Ontario Breast Screening Program, Cancer Care Ontario, Toronto, Canada
| | - Linda Linton
- Princess Margaret Cancer Centre, Toronto, Canada
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Liu Y, Nguyen N, Colditz GA. Links between alcohol consumption and breast cancer: a look at the evidence. ACTA ACUST UNITED AC 2015; 11:65-77. [PMID: 25581056 DOI: 10.2217/whe.14.62] [Citation(s) in RCA: 86] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Alcohol consumption by adult women is consistently associated with risk of breast cancer. Several questions regarding alcohol and breast cancer need to be addressed. Menarche to first pregnancy represents a window of time when breast tissue is particularly susceptible to carcinogens. Youth alcohol consumption is common in the USA, largely in the form of binge drinking and heavy drinking. Whether alcohol intake acts early in the process of breast tumorigenesis is unclear. This review aims to focus on the influences of timing and patterns of alcohol consumption and the effect of alcohol on intermediate risk markers. We also review possible mechanisms underlying the alcohol-breast cancer association.
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Affiliation(s)
- Ying Liu
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, 660 S Euclid Ave, St Louis, MO 63110, USA
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16
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Frydenberg H, Flote VG, Larsson IM, Barrett ES, Furberg AS, Ursin G, Wilsgaard T, Ellison PT, McTiernan A, Hjartåker A, Jasienska G, Thune I. Alcohol consumption, endogenous estrogen and mammographic density among premenopausal women. Breast Cancer Res 2015; 17:103. [PMID: 26246001 PMCID: PMC4531831 DOI: 10.1186/s13058-015-0620-1] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2015] [Accepted: 06/24/2015] [Indexed: 12/27/2022] Open
Abstract
Introduction Alcohol consumption may promote aromatization of androgens to estrogens, which may partly explain the observations linking alcohol consumption to higher breast cancer risk. Whether alcohol consumption is associated with endogenous estrogen levels, and mammographic density phenotypes in premenopausal women remains unclear. Methods Alcohol consumption was collected by self-report and interview, using semi quantitative food frequency questionnaires, and a food diary during seven days of a menstrual cycle among 202 premenopausal women, participating in the Energy Balance and Breast Cancer Aspects (EBBA) study I. Estrogen was assessed in serum and daily in saliva across an entire menstrual cycle. Computer-assisted mammographic density (Madena) was obtained from digitized mammograms taken between days 7–12 of the menstrual cycle. Multivariable regression models were used to investigate the associations between alcohol consumption, endogenous estrogen and mammographic density phenotypes. Results Current alcohol consumption was positively associated with endogenous estrogen, and absolute mammographic density. We observed 18 % higher mean salivary 17β-estradiol levels throughout the menstrual cycle, among women who consumed more than 10 g of alcohol per day compared to women who consumed less than 10 g of alcohol per day (p = 0.034). Long-term and past-year alcohol consumption was positively associated with mammographic density. We observed a positive association between alcohol consumption (past year) and absolute mammographic density; high alcohol consumers (≥7 drinks/week) had a mean absolute mammographic density of 46.17 cm2 (95 % confidence interval (CI) 39.39, 52.95), while low alcohol consumers (<1 drink/week) had a mean absolute mammographic density of 31.26 cm2 (95 % CI 25.89, 36.64) (p-trend 0.001). After adjustments, high consumers of alcohol (≥7 drinks/week), had 5.08 (95 % CI 1.82, 14.20) times higher odds of having absolute mammographic density above median (>32.4 cm2), compared to low (<1 drink/week) alcohol consumers. Conclusion Alcohol consumption was positively associated with daily endogenous estrogen levels and mammographic density in premenopausal women. These associations could point to an important area of breast cancer prevention. Electronic supplementary material The online version of this article (doi:10.1186/s13058-015-0620-1) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Hanne Frydenberg
- The Cancer Centre, Oslo University Hospital, 0424, Oslo, Norway.
| | - Vidar G Flote
- The Cancer Centre, Oslo University Hospital, 0424, Oslo, Norway.
| | - Ine M Larsson
- The Cancer Centre, Oslo University Hospital, 0424, Oslo, Norway.
| | - Emily S Barrett
- Department of Obstetrics and Gynecology, University of Rochester School of Medicine and Dentistry, 601 Elmwood Avenue, Box 668, Rochester, NY, 14534, USA.
| | - Anne-Sofie Furberg
- Department of Community Medicine, Faculty of Health Sciences, The Arctic University of Norway, 9037, Tromsø, Norway.
| | - Giske Ursin
- Cancer Registry of Norway, PO Box 5313, Majorstuen, 0304, Oslo, Norway.
| | - Tom Wilsgaard
- Department of Community Medicine, Faculty of Health Sciences, The Arctic University of Norway, 9037, Tromsø, Norway.
| | - Peter T Ellison
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, 02138, USA.
| | - Anne McTiernan
- Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA.
| | - Anette Hjartåker
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, 0316, Oslo, Norway.
| | - Grazyna Jasienska
- Department of Environmental Health, Jagiellonian University Collegium Medicum, 31-531, Krakow, Poland.
| | - Inger Thune
- The Cancer Centre, Oslo University Hospital, 0424, Oslo, Norway. .,Department of Community Medicine, Faculty of Health Sciences, The Arctic University of Norway, 9037, Tromsø, Norway.
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Trinh T, Christensen SE, Brand JS, Cuzick J, Czene K, Sjölander A, Bälter K, Hall P. Background risk of breast cancer influences the association between alcohol consumption and mammographic density. Br J Cancer 2015; 113:159-65. [PMID: 26035701 PMCID: PMC4647543 DOI: 10.1038/bjc.2015.185] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2015] [Revised: 04/27/2015] [Accepted: 05/01/2015] [Indexed: 11/29/2022] Open
Abstract
Background: Alcohol consumption has been suggested to increase risk of breast cancer through a mechanism that also increases mammographic density. Whether the association between alcohol consumption and mammographic density is modified by background breast cancer risk has, however, not been studied. Methods: We conducted a population-based cross-sectional study of 53 060 Swedish women aged 40–74 years. Alcohol consumption was assessed using a web-based self-administered questionnaire. Mammographic density was measured using the fully-automated volumetric Volpara method. The Tyrer–Cuzick prediction model was used to estimate risk of developing breast cancer in the next 10 years. Linear regression models were used to evaluate the association between alcohol consumption and volumetric mammographic density and the potential influence of Tyrer–Cuzick breast cancer risk. Results: Overall, increasing alcohol consumption was associated with higher absolute dense volume (cm3) and per cent dense volume (%). The association between alcohol consumption and absolute dense volume was most pronounced among women with the highest (⩾5%) Tyrer–Cuzick 10-year risk. Among high-risk women, women consuming 5.0–9.9, 10.0–19.9, 20.0–29.9, and 30.0–40.0 g of alcohol per day had 2.6 cm3 (95% confidence interval (CI), 0.2–4.9), 2.9 cm3 (95% CI, −0.6 to 6.3), 4.6 cm3 (95% CI, 1.5–7.7), and 10.8 cm3 (95% CI, 4.8–17.0) higher absolute dense volume, respectively, as compared with women abstaining from alcohol. A trend of increasing alcohol consumption and higher absolute dense volume was seen in women at low (⩽3%) risk, but not in women at moderate (3.0–4.9%) risk. Conclusion: Alcohol consumption may increase breast cancer risk through increasing mammographic density, particularly in women at high background risk of breast cancer.
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Affiliation(s)
- T Trinh
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, Stockholm 171 77, Sweden
| | - S E Christensen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, Stockholm 171 77, Sweden
| | - J S Brand
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, Stockholm 171 77, Sweden
| | - J Cuzick
- Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
| | - K Czene
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, Stockholm 171 77, Sweden
| | - A Sjölander
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, Stockholm 171 77, Sweden
| | - K Bälter
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, Stockholm 171 77, Sweden
| | - P Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, Stockholm 171 77, Sweden
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Ellingjord-Dale M, dos-Santos-Silva I, Grotmol T, Kaur Sakhi A, Hofvind S, Qureshi S, Skov Markussen M, Couto E, Vos L, Ursin G. Vitamin D intake, month the mammogram was taken and mammographic density in Norwegian women aged 50-69. PLoS One 2015; 10:e0123754. [PMID: 25938768 PMCID: PMC4418832 DOI: 10.1371/journal.pone.0123754] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2014] [Accepted: 03/06/2015] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND The role of vitamin D in breast cancer etiology is unclear. There is some, but inconsistent, evidence that vitamin D is associated with both breast cancer risk and mammographic density (MD). We evaluated the associations of MD with month the mammogram was taken, and with vitamin D intake, in a population of women from Norway--a country with limited sunlight exposure for a large part of the year. METHODS 3114 women aged 50-69, who participated in the Norwegian Breast Cancer Screening Program (NBCSP) in 2004 or 2006/07, completed risk factor and food frequency (FFQ) questionnaires. Dietary and total (dietary plus supplements) vitamin D, calcium and energy intakes were estimated by the FFQ. Month when the mammogram was taken was recorded on the mammogram. Percent MD was assessed using a computer assisted method (Madena, University of Southern California) after digitization of the films. Linear regression models were used to investigate percent MD associations with month the mammogram was taken, and vitamin D and calcium intakes, adjusting for age, body mass index (BMI), study year, estrogen and progestin therapy (EPT), education, parity, calcium intakes and energy intakes. RESULTS There was no statistical significant association between the month the mammogram was taken and percent MD. Overall, there was no association between percent MD and quartiles of total or dietary vitamin D intakes, or of calcium intake. However, analysis restricted to women aged <55 years revealed a suggestive inverse association between total vitamin D intake and percent MD (p for trend = 0.03). CONCLUSION Overall, we found no strong evidence that month the mammogram was taken was associated with percent MD. We found no inverse association between vitamin D intake and percent MD overall, but observed a suggestive inverse association between dietary vitamin D and MD for women less than 55 years old.
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Affiliation(s)
| | - Isabel dos-Santos-Silva
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | | | | | | | - Samera Qureshi
- Norwegian Centre for Minority Health Research, Oslo, Norway
| | | | - Elisabeth Couto
- Norwegian Knowledge Centre for the Health Services, Health Economic and Drug Unit, Oslo, Norway
| | - Linda Vos
- Cancer Registry of Norway, Oslo, Norway
| | - Giske Ursin
- University of OsloOslo, Norway
- Cancer Registry of Norway, Oslo, Norway
- University of Southern California, Los Angeles, United States of America
- * E-mail:
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19
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Quandt Z, Flom JD, Tehranifar P, Reynolds D, Terry MB, McDonald JA. The association of alcohol consumption with mammographic density in a multiethnic urban population. BMC Cancer 2015; 15:1094. [PMID: 25777420 PMCID: PMC4374505 DOI: 10.1186/s12885-015-1094-3] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2014] [Accepted: 02/20/2015] [Indexed: 12/21/2022] Open
Abstract
Background Alcohol consumption is associated with higher breast cancer risk. While studies suggest a modest association between alcohol intake and mammographic density, few studies have examined the association in racial/ethnic minority populations. Methods We assessed dense breast area and total breast area from digitized film mammograms in an urban cohort of African American (42%), African Caribbean (22%), white (22%), and Hispanic Caribbean (9%) women (n = 189, ages 40-61). We examined the association between alcohol intake and mammographic density (percent density and dense area). We used linear regression to examine mean differences in mammographic density across alcohol intake categories. We considered confounding by age, body mass index (BMI), hormone contraceptive use, family history of breast cancer, menopausal status, smoking status, nativity, race/ethnicity, age at first birth, and parity. Results Fifty percent currently consumed alcohol. Women who consumed >7 servings/week of alcohol, but not those consuming ≤7 servings/week, had higher percent density compared to nondrinkers after full adjustments (servings/week >7 β = 8.2, 95% Confidence Interval (CI) 1.8, 14.6; ≤7 β = -0.5, 95% CI -3.7, 2.8). There was a positive association between high alcohol intake and dense area after full adjustments (servings/week >7 β = 5.8, 95% CI -2.7, 14.2; ≤7 β = -0.1, 95% CI -4.4, 4.2). We did not observe race/ethnicity modification of the association between alcohol intake and percent density. In women with a BMI of <25 kg/m2, drinkers consuming >7 servings/week of alcohol had a 17% increase in percent density compared to nondrinkers (95% CI 5.4, 29.0) and there was no association in women with a BMI ≥ 25 kg/m2 (BMI ≥ 25-30 kg/m2 > 7 β = 5.1, 95% CI -8.5, 18.7 and BMI > 30 kg/m2 > 7 β = 0.5, 95% CI -6.5, 7.5) after adjusting for age and BMI (continuous). Conclusion In a racially/ethnically diverse cohort, women who consumed >7 servings/week of alcohol, especially those with a BMI < 25 kg/m2, had higher percent density.
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Affiliation(s)
- Zoe Quandt
- Department of Epidemiology, Columbia University Medical Center, Mailman School of Public Health, New York, NY, USA,
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Ellingjord-Dale M, Grotmol T, Lee E, Van Den Berg DJ, Hofvind S, Couto E, Sovio U, Dos-Santos-Silva I, Ursin G. Breast cancer susceptibility variants and mammographic density phenotypes in norwegian postmenopausal women. Cancer Epidemiol Biomarkers Prev 2014; 23:1752-63. [PMID: 25002657 DOI: 10.1158/1055-9965.epi-13-1212] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Mammographic density (MD) is one of the strongest known breast cancer risk factors. Twin studies have suggested that a large part of the variation in MD is genetically determined. We hypothesized that breast cancer susceptibility variants may affect MD, and that their effects may be modified by nongenetic factors. METHODS We assessed MD, using a computer-assisted method, on 2,348 postmenopausal Caucasian women (50-69 years) who participated in the Norwegian Breast Cancer Screening Program (NBCSP) in 2004 or 2006-07. We used linear regression (additive models) to determine the association between each SNP and MD, adjusting for age, body mass index (BMI), and study. We evaluated MD associations with 17 established breast cancer SNPs, overall, and by strata defined by non-genetic factors. RESULTS Two variants, 6q25.1-rs9383938 and TXNRD2-rs8141691, were statistically significantly associated with percent MD (P = 0.019 and 0.03, respectively), with the 6q25.1-rs9383938 association being consistent with the SNP effect on breast cancer risk. The effect of 6q25.1-rs3734805 on percent MD varied between parous and nulliparous women (Pinteraction = 0.02), whereas the effects of 9q31.2-rs865686 and MRPS30:FGF10-rs4415084 differed across strata of BMI (Pinteraction = 0.01 and 0.005, respectively). There was no evidence of effect modification by estrogen and progestin therapy use or alcohol consumption. CONCLUSION This study provides novel evidence of shared genetic risk factors between MD and breast cancer and of possible MD genetic-environmental interactions. IMPACT Although the results may be chance findings, they nevertheless highlight the need to investigate interactions with nongenetic factors in studies on the genetics of MD.
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Affiliation(s)
| | | | - Eunjung Lee
- University of Southern California, Los Angeles, California
| | | | | | - Elisabeth Couto
- Norwegian Knowledge Centre for the Health Services, Health Economic and Drug Unit, Oslo, Norway
| | - Ulla Sovio
- University of Cambridge, Cambridge, United Kingdom
| | | | - Giske Ursin
- University of Oslo, Oslo, Norway. Cancer Registry of Norway, Oslo, Norway.
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21
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Dai H, Yan Y, Wang P, Liu P, Cao Y, Xiong L, Luo Y, Pan T, Ma X, Wang J, Yang Z, Liu X, Chen C, Huang Y, Li Y, Wang Y, Hao X, Ye Z, Chen K. Distribution of mammographic density and its influential factors among Chinese women. Int J Epidemiol 2014; 43:1240-51. [PMID: 24639441 DOI: 10.1093/ije/dyu042] [Citation(s) in RCA: 65] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Mammographic density (MD) has not been systematically investigated among Chinese women. Breast cancer screening programmes provided detailed information on MD in a large number of asymptomatic women. METHODS In the Multi-modality Independent Screening Trial (MIST), we estimated the association between MD and its influential factors using logistic regression, adjusting for age, body mass index (BMI) and study area. Differences between Chinese and other ethnic groups with respect to MD were also explored with adjustment for age and BMI. RESULTS A total of 28 388 women aged 45 to 65 years, who had been screened by mammography, were enrolled in the study. Of these, 49.2% were categorized as having dense breasts (BI-RADS density 3 and 4) and 50.8% as fatty breasts (BI-RADS density 1 and 2). Postmenopausal status [odds ratio (OR) = 0.66; 95% confidence interval (CI): 0.62-0.70] and higher number of live births (OR = 0.56; 95% CI: 0.46-0.68) were inversely associated with MD, whereas prior benign breast disease (OR = 1.48; 95% CI: 1.40-1.56) and later age at first birth (OR = 1.17; 95% CI: 1.08-1.27) were positively associated with MD. In comparison with the data from the Breast Cancer Surveillance Consortium, we found that women in MIST were more likely to have fatty breasts than Americans (from the Breast Cancer Surveillance Consortium) in the older age group (≥50 years) but more likely to have dense breasts in the younger age group (<50 years). CONCLUSIONS This study suggests that several risk factors for breast cancer were associated with breast density in Chinese women. Information on the determinants of mammographic density may provide valuable insights into breast cancer aetiology.
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Affiliation(s)
- Hongji Dai
- Department of Epidemiology and Biostatistics and Department of Breast Imaging, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China, Prevention and Cure Center of Breast Disease, Third Hospital of Nanchang, Nanchang, China, Department of Medical Image and Department of Cancer Prevention and Control, Liaoning Cancer Institute and Hospital, Shenyang, China, Center for Breast Disease, Haidian Maternal and Child Health Hospital, Beijing, China, Department of Radiology, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China, Department of Health Statistics, School of Public Health, Tianjin Medical University, Tianjin, China and Chinese Anti-Cancer Association, Tianjin, China
| | - Ye Yan
- Department of Epidemiology and Biostatistics and Department of Breast Imaging, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China, Prevention and Cure Center of Breast Disease, Third Hospital of Nanchang, Nanchang, China, Department of Medical Image and Department of Cancer Prevention and Control, Liaoning Cancer Institute and Hospital, Shenyang, China, Center for Breast Disease, Haidian Maternal and Child Health Hospital, Beijing, China, Department of Radiology, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China, Department of Health Statistics, School of Public Health, Tianjin Medical University, Tianjin, China and Chinese Anti-Cancer Association, Tianjin, China
| | - Peishan Wang
- Department of Epidemiology and Biostatistics and Department of Breast Imaging, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China, Prevention and Cure Center of Breast Disease, Third Hospital of Nanchang, Nanchang, China, Department of Medical Image and Department of Cancer Prevention and Control, Liaoning Cancer Institute and Hospital, Shenyang, China, Center for Breast Disease, Haidian Maternal and Child Health Hospital, Beijing, China, Department of Radiology, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China, Department of Health Statistics, School of Public Health, Tianjin Medical University, Tianjin, China and Chinese Anti-Cancer Association, Tianjin, China
| | - Peifang Liu
- Department of Epidemiology and Biostatistics and Department of Breast Imaging, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China, Prevention and Cure Center of Breast Disease, Third Hospital of Nanchang, Nanchang, China, Department of Medical Image and Department of Cancer Prevention and Control, Liaoning Cancer Institute and Hospital, Shenyang, China, Center for Breast Disease, Haidian Maternal and Child Health Hospital, Beijing, China, Department of Radiology, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China, Department of Health Statistics, School of Public Health, Tianjin Medical University, Tianjin, China and Chinese Anti-Cancer Association, Tianjin, China
| | - Yali Cao
- Department of Epidemiology and Biostatistics and Department of Breast Imaging, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China, Prevention and Cure Center of Breast Disease, Third Hospital of Nanchang, Nanchang, China, Department of Medical Image and Department of Cancer Prevention and Control, Liaoning Cancer Institute and Hospital, Shenyang, China, Center for Breast Disease, Haidian Maternal and Child Health Hospital, Beijing, China, Department of Radiology, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China, Department of Health Statistics, School of Public Health, Tianjin Medical University, Tianjin, China and Chinese Anti-Cancer Association, Tianjin, China
| | - Li Xiong
- Department of Epidemiology and Biostatistics and Department of Breast Imaging, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China, Prevention and Cure Center of Breast Disease, Third Hospital of Nanchang, Nanchang, China, Department of Medical Image and Department of Cancer Prevention and Control, Liaoning Cancer Institute and Hospital, Shenyang, China, Center for Breast Disease, Haidian Maternal and Child Health Hospital, Beijing, China, Department of Radiology, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China, Department of Health Statistics, School of Public Health, Tianjin Medical University, Tianjin, China and Chinese Anti-Cancer Association, Tianjin, China
| | - Yahong Luo
- Department of Epidemiology and Biostatistics and Department of Breast Imaging, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China, Prevention and Cure Center of Breast Disease, Third Hospital of Nanchang, Nanchang, China, Department of Medical Image and Department of Cancer Prevention and Control, Liaoning Cancer Institute and Hospital, Shenyang, China, Center for Breast Disease, Haidian Maternal and Child Health Hospital, Beijing, China, Department of Radiology, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China, Department of Health Statistics, School of Public Health, Tianjin Medical University, Tianjin, China and Chinese Anti-Cancer Association, Tianjin, China
| | - Tie Pan
- Department of Epidemiology and Biostatistics and Department of Breast Imaging, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China, Prevention and Cure Center of Breast Disease, Third Hospital of Nanchang, Nanchang, China, Department of Medical Image and Department of Cancer Prevention and Control, Liaoning Cancer Institute and Hospital, Shenyang, China, Center for Breast Disease, Haidian Maternal and Child Health Hospital, Beijing, China, Department of Radiology, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China, Department of Health Statistics, School of Public Health, Tianjin Medical University, Tianjin, China and Chinese Anti-Cancer Association, Tianjin, China
| | - Xiangjun Ma
- Department of Epidemiology and Biostatistics and Department of Breast Imaging, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China, Prevention and Cure Center of Breast Disease, Third Hospital of Nanchang, Nanchang, China, Department of Medical Image and Department of Cancer Prevention and Control, Liaoning Cancer Institute and Hospital, Shenyang, China, Center for Breast Disease, Haidian Maternal and Child Health Hospital, Beijing, China, Department of Radiology, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China, Department of Health Statistics, School of Public Health, Tianjin Medical University, Tianjin, China and Chinese Anti-Cancer Association, Tianjin, China
| | - Jie Wang
- Department of Epidemiology and Biostatistics and Department of Breast Imaging, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China, Prevention and Cure Center of Breast Disease, Third Hospital of Nanchang, Nanchang, China, Department of Medical Image and Department of Cancer Prevention and Control, Liaoning Cancer Institute and Hospital, Shenyang, China, Center for Breast Disease, Haidian Maternal and Child Health Hospital, Beijing, China, Department of Radiology, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China, Department of Health Statistics, School of Public Health, Tianjin Medical University, Tianjin, China and Chinese Anti-Cancer Association, Tianjin, China
| | - Zhenhua Yang
- Department of Epidemiology and Biostatistics and Department of Breast Imaging, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China, Prevention and Cure Center of Breast Disease, Third Hospital of Nanchang, Nanchang, China, Department of Medical Image and Department of Cancer Prevention and Control, Liaoning Cancer Institute and Hospital, Shenyang, China, Center for Breast Disease, Haidian Maternal and Child Health Hospital, Beijing, China, Department of Radiology, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China, Department of Health Statistics, School of Public Health, Tianjin Medical University, Tianjin, China and Chinese Anti-Cancer Association, Tianjin, China
| | - Xueou Liu
- Department of Epidemiology and Biostatistics and Department of Breast Imaging, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China, Prevention and Cure Center of Breast Disease, Third Hospital of Nanchang, Nanchang, China, Department of Medical Image and Department of Cancer Prevention and Control, Liaoning Cancer Institute and Hospital, Shenyang, China, Center for Breast Disease, Haidian Maternal and Child Health Hospital, Beijing, China, Department of Radiology, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China, Department of Health Statistics, School of Public Health, Tianjin Medical University, Tianjin, China and Chinese Anti-Cancer Association, Tianjin, China
| | - Chuan Chen
- Department of Epidemiology and Biostatistics and Department of Breast Imaging, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China, Prevention and Cure Center of Breast Disease, Third Hospital of Nanchang, Nanchang, China, Department of Medical Image and Department of Cancer Prevention and Control, Liaoning Cancer Institute and Hospital, Shenyang, China, Center for Breast Disease, Haidian Maternal and Child Health Hospital, Beijing, China, Department of Radiology, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China, Department of Health Statistics, School of Public Health, Tianjin Medical University, Tianjin, China and Chinese Anti-Cancer Association, Tianjin, China
| | - Yubei Huang
- Department of Epidemiology and Biostatistics and Department of Breast Imaging, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China, Prevention and Cure Center of Breast Disease, Third Hospital of Nanchang, Nanchang, China, Department of Medical Image and Department of Cancer Prevention and Control, Liaoning Cancer Institute and Hospital, Shenyang, China, Center for Breast Disease, Haidian Maternal and Child Health Hospital, Beijing, China, Department of Radiology, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China, Department of Health Statistics, School of Public Health, Tianjin Medical University, Tianjin, China and Chinese Anti-Cancer Association, Tianjin, China
| | - Yi Li
- Department of Epidemiology and Biostatistics and Department of Breast Imaging, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China, Prevention and Cure Center of Breast Disease, Third Hospital of Nanchang, Nanchang, China, Department of Medical Image and Department of Cancer Prevention and Control, Liaoning Cancer Institute and Hospital, Shenyang, China, Center for Breast Disease, Haidian Maternal and Child Health Hospital, Beijing, China, Department of Radiology, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China, Department of Health Statistics, School of Public Health, Tianjin Medical University, Tianjin, China and Chinese Anti-Cancer Association, Tianjin, China
| | - Yaogang Wang
- Department of Epidemiology and Biostatistics and Department of Breast Imaging, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China, Prevention and Cure Center of Breast Disease, Third Hospital of Nanchang, Nanchang, China, Department of Medical Image and Department of Cancer Prevention and Control, Liaoning Cancer Institute and Hospital, Shenyang, China, Center for Breast Disease, Haidian Maternal and Child Health Hospital, Beijing, China, Department of Radiology, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China, Department of Health Statistics, School of Public Health, Tianjin Medical University, Tianjin, China and Chinese Anti-Cancer Association, Tianjin, China
| | - Xishan Hao
- Department of Epidemiology and Biostatistics and Department of Breast Imaging, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China, Prevention and Cure Center of Breast Disease, Third Hospital of Nanchang, Nanchang, China, Department of Medical Image and Department of Cancer Prevention and Control, Liaoning Cancer Institute and Hospital, Shenyang, China, Center for Breast Disease, Haidian Maternal and Child Health Hospital, Beijing, China, Department of Radiology, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China, Department of Health Statistics, School of Public Health, Tianjin Medical University, Tianjin, China and Chinese Anti-Cancer Association, Tianjin, ChinaDepartment of Epidemiology and Biostatistics and Department of Breast Imaging, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China, Prevention and Cure Center of Breast Disease, Third Hospital of Nanchang, Nanchang, China, Department of Medical Image and Department of Cancer Prevention and Control, Liaoning Cancer Institute and Hospital, Shenyang, China, Center for Breast Disease, Haidian Maternal and Child Health Hospital, Beijing, China, Department of Radiology, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tian
| | - Zhaoxiang Ye
- Department of Epidemiology and Biostatistics and Department of Breast Imaging, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China, Prevention and Cure Center of Breast Disease, Third Hospital of Nanchang, Nanchang, China, Department of Medical Image and Department of Cancer Prevention and Control, Liaoning Cancer Institute and Hospital, Shenyang, China, Center for Breast Disease, Haidian Maternal and Child Health Hospital, Beijing, China, Department of Radiology, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China, Department of Health Statistics, School of Public Health, Tianjin Medical University, Tianjin, China and Chinese Anti-Cancer Association, Tianjin, China
| | - Kexin Chen
- Department of Epidemiology and Biostatistics and Department of Breast Imaging, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China, Prevention and Cure Center of Breast Disease, Third Hospital of Nanchang, Nanchang, China, Department of Medical Image and Department of Cancer Prevention and Control, Liaoning Cancer Institute and Hospital, Shenyang, China, Center for Breast Disease, Haidian Maternal and Child Health Hospital, Beijing, China, Department of Radiology, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China, Department of Health Statistics, School of Public Health, Tianjin Medical University, Tianjin, China and Chinese Anti-Cancer Association, Tianjin, China
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22
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Brand JS, Czene K, Eriksson L, Trinh T, Bhoo-Pathy N, Hall P, Celebioglu F. Influence of lifestyle factors on mammographic density in postmenopausal women. PLoS One 2013; 8:e81876. [PMID: 24349146 PMCID: PMC3857226 DOI: 10.1371/journal.pone.0081876] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2013] [Accepted: 10/21/2013] [Indexed: 11/19/2022] Open
Abstract
Background Mammographic density is a strong risk factor for breast cancer. Apart from hormone replacement therapy (HRT), little is known about lifestyle factors that influence breast density. Methods We examined the effect of smoking, alcohol and physical activity on mammographic density in a population-based sample of postmenopausal women without breast cancer. Lifestyle factors were assessed by a questionnaire and percentage and area measures of mammographic density were measured using computer-assisted software. General linear models were used to assess the association between lifestyle factors and mammographic density and effect modification by body mass index (BMI) and HRT was studied. Results Overall, alcohol intake was positively associated with percent mammographic density (P trend = 0.07). This association was modified by HRT use (P interaction = 0.06): increasing alcohol intake was associated with increasing percent density in current HRT users (P trend = 0.01) but not in non-current users (P trend = 0.82). A similar interaction between alcohol and HRT was found for the absolute dense area, with a positive association being present in current HRT users only (P interaction = 0.04). No differences in mammographic density were observed across categories of smoking and physical activity, neither overall nor in stratified analyses by BMI and HRT use. Conclusions Increasing alcohol intake is associated with an increase in mammography density, whereas smoking and physical activity do not seem to influence density. The observed interaction between alcohol and HRT may pose an opportunity for HRT users to lower their mammographic density and breast cancer risk.
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Affiliation(s)
- Judith S. Brand
- Institution of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels Väg 12A, Stockholm, Sweden
- * E-mail:
| | - Kamila Czene
- Institution of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels Väg 12A, Stockholm, Sweden
| | - Louise Eriksson
- Institution of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels Väg 12A, Stockholm, Sweden
| | - Thang Trinh
- Institution of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels Väg 12A, Stockholm, Sweden
| | - Nirmala Bhoo-Pathy
- National Clinical Research Centre, Level 3, Dermatology Block, Hospital Kuala Lumpur, Jalan Pahang, Kuala Lumpur, Malaysia
- Julius Centre University of Malaya, Faculty of Medicine, University of Malaya, Lembah Pantai, Kuala Lumpur, Malaysia
| | - Per Hall
- Institution of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels Väg 12A, Stockholm, Sweden
| | - Fuat Celebioglu
- Department of Clinical Science and Education, Södersjukhuset (KI SÖS), S1. Sjukhusbacken 10, Stockholm, Sweden
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McDonald JA, Goyal A, Terry MB. Alcohol Intake and Breast Cancer Risk: Weighing the Overall Evidence. CURRENT BREAST CANCER REPORTS 2013; 5:10.1007/s12609-013-0114-z. [PMID: 24265860 PMCID: PMC3832299 DOI: 10.1007/s12609-013-0114-z] [Citation(s) in RCA: 65] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Moderate alcohol consumption has been linked to an approximate 30-50% increased risk in breast cancer. Case-control and cohort studies have consistently observed this modest increase. We highlight recent evidence from molecular epidemiologic studies and studies of intermediate markers like mammographic density that provide additional evidence that this association is real and not solely explained by factors/correlates of the exposure and outcome present in non-randomized studies. We also review evidence from studies of higher risk women including BRCA1 and BRCA2 mutation carriers. Given the incidence of heart disease is higher than breast cancer and modest alcohol consumption is associated with reduced risk of heart disease, we examine the latest evidence to evaluate if alcohol reduction should be targeted to women at high risk for breast cancer. We also review the most recent evidence on the effect of alcohol use on tumor recurrence and survival for those diagnosed with breast cancer.
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Affiliation(s)
- Jasmine A. McDonald
- 722W 168St, R719 Department of Epidemiology Mailman School of Public Health Columbia University New York, NY 10032 Phone: 212-305-9114 Fax: 212-305-9413
| | - Abhishek Goyal
- 722W 168St, R723 Department of Epidemiology Mailman School of Public Health Columbia University New York, NY 10032 Phone: 212-305-3586 Fax: 212-305-9413
| | - Mary Beth Terry
- 722W 168St, R724A Department of Epidemiology Mailman School of Public Health Columbia University New York, NY 10032; Herbert Irving Comprehensive Cancer Center 1130 St. Nicholas Ave. Columbia University New York, NY 10032
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24
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Ellingjord-Dale M, Lee E, Couto E, Ozhand A, Qureshi S, Hofvind S, Van Den Berg DJ, Akslen LA, Grotmol T, Ursin G. Polymorphisms in hormone metabolism and growth factor genes and mammographic density in Norwegian postmenopausal hormone therapy users and non-users. Breast Cancer Res 2012; 14:R135. [PMID: 23095343 PMCID: PMC4053113 DOI: 10.1186/bcr3337] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2012] [Accepted: 08/30/2012] [Indexed: 01/10/2023] Open
Abstract
INTRODUCTION Mammographic density (MD) is one of the strongest known breast cancer risk factors. Estrogen and progestin therapy (EPT) has been associated with increases in MD. Dense breast tissue is characterized by increased stromal tissue and (to a lesser degree) increased numbers of breast epithelial cells. It is possible that genetic factors modify the association between EPT and MD, and that certain genetic variants are particularly important in determining MD in hormone users. We evaluated the association between MD and 340 tagging single nucleotide polymorphisms (SNPs) from about 30 candidate genes in hormone metabolism/growth factor pathways among women who participated in the Norwegian Breast Cancer Screening Program (NBCSP) in 2004. METHODS We assessed MD on 2,036 postmenopausal women aged 50 to 69 years using a computer-assisted method (Madena, University of Southern California) in a cross-sectional study. We used linear regression to determine the association between each SNP and MD, adjusting for potential confounders. The postmenopausal women were stratified into HT users (EPT and estrogen-only) and non-users (never HT). RESULTS For current EPT users, there was an association between a variant in the prolactin gene (PRL; rs10946545) and MD (dominant model, Bonferroni-adjusted P (Pb) = 0.0144). This association remained statistically significant among current users of norethisterone acetate (NETA)-based EPT, a regimen common in Nordic countries. Among current estrogen-only users (ET), there was an association between rs4670813 in the cytochrome P450 gene (CYP1B1) and MD (dominant model, Pb = 0.0396). In never HT users, rs769177 in the tumor necrosis factor (TNF) gene and rs1968752 in the region of the sulfotransferase gene (SULT1A1/SULT1A2), were significantly associated with MD (Pb = 0.0202; Pb = 0.0349). CONCLUSIONS We found some evidence that variants in the PRL gene were associated with MD in current EPT and NETA users. In never HT users, variants in the TNF and SULT1A1/SULT1A2 genes were significantly associated with MD. These findings may suggest that several genes in the hormone metabolism and growth factor pathways are implicated in determining MD.
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Conroy SM, Koga K, Woolcott CG, Dahl T, Byrne C, Nagata C, Ursin G, Yaffe MJ, Vachon CM, Maskarinec G. Higher alcohol intake may modify the association between mammographic density and breast cancer: an analysis of three case-control studies. Cancer Epidemiol 2012; 36:458-60. [PMID: 22785031 DOI: 10.1016/j.canep.2012.06.007] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2012] [Revised: 06/12/2012] [Accepted: 06/17/2012] [Indexed: 11/18/2022]
Abstract
Alcohol consumption and mammographic density are established risk factors for breast cancer. This study examined whether the association of mammographic density with breast cancer varies by alcohol intake. Mammographic density was assessed in digitized images for 1207 cases and 1663 controls from three populations (Japan, Hawaii, California) using a computer-assisted method. Associations were estimated by logistic regression. When comparing ever to never drinking, mean density was similar and consumption was not associated with breast cancer risk. However, within the Hawaii/Japan subset, women consuming >1 drink/day had a non-significantly elevated relative risk compared to never drinkers. Also in the Hawaii/Japan population, alcohol intake only modified the association between mammographic density and breast cancer in women consuming >1 drink/day (p(interaction)=0.05) with significant risk estimates of 3.65 and 6.58 for the 2nd and 3rd density tertiles as compared to 1.57 and 1.61 for never drinkers in Hawaii/Japan. Although these findings suggest a stronger association between mammographic density and breast cancer risk for alcohol consumers, the small number of cases requires caution in interpreting the results.
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